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Gemma 2 27B vs GLM-4.6
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 29.5% higher average benchmark score. GLM-4.6 supports multimodal inputs. GLM-4.6 is available on 2 providers. Overall, Gemma 2 27B is the stronger choice for coding tasks.
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Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
1 year newer
Gemma 2 27B
2024-06-27
GLM-4.6
Zhipu AI
2025-09-30
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemma 2 27B
Average Score:48.1%(+29.5%)
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GLM-4.6
Average Score:18.6%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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GLM-4.6
2 providers
DeepInfra
Throughput: 85 tok/s
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Gemma 2 27B
Avg Score:48.1%(+29.5%)
Providers:0
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GLM-4.6
Avg Score:18.6%
Providers:2